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Development of an AI Chatbot to Support Admissions and Career Guidance for Universities

첫 페이지 보기
  • 발행기관
    ASCONS 바로가기
  • 간행물
    IJEMR 바로가기
  • 통권
    VOLUME 4 Number 2 (2020.06)바로가기
  • 페이지
    pp.11-17
  • 저자
    Le Hoanh Su, Truong Dang-Huy, Tran Thi-Yen-Linh, Nguyen Thi-Duyen-Ngoc, Ly Bao-Tuyen, Nguyen Ha-Phuong-Truc
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A379657

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초록

영어
The vocational guidance and advising education enrollment are one of the most important tasks in the enrollment process and promote the quality and reputation of the University. Admissions counseling offices at Universities and Colleges play a major role in vocational guidance and advising education enrollment. However, the support of these units is limited by office hours, speed and advisory efficiency, and besides, handling and answering questions process may also encounter obstacles such as: overload, misinformation, problem with the transmission, language barriers, expressions, limited time, support resources,… Thus we decided to do research to understand this situation. Then creating a dataset supports vocational guidance and advising education enrollment activities. We also design and integrate chatbot into the school system to support the admissions counseling process.

목차

Abstract1
I. INTRODUCTION
II. THEORETICAL FRAMEWORK
A. Literature Review
B. Application of theories
III. RESEARCH METHODOLOGY
A. Data Collection
B. Building data sets
C. Structural design for Chatbot
D. Interface design for Chatbot
IV. TEST, EXPERIMENT AND DEPLOYMENT
A. Reassess the accuracy of the model
B. Experiment
V. CONCLUSION AND RECOMMENDATIONS
A. Conclusion
B. Limitation
C. s Recommendations
REFERENCES

키워드

Admissions chatbot AI data machine learning information systems.

저자

  • Le Hoanh Su [ Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ] Corresponding Author
  • Truong Dang-Huy [ Department of Ecommerce, Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ]
  • Tran Thi-Yen-Linh [ Department of Ecommerce, Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ]
  • Nguyen Thi-Duyen-Ngoc [ Department of Ecommerce, Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ]
  • Ly Bao-Tuyen [ Department of Ecommerce, Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ]
  • Nguyen Ha-Phuong-Truc [ Department of Management Information Systems, Faculty of Information Systems, University of Economics and Laws, VNU-HCM, Ho Chi Minh City, Vietnam ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    ASCONS [The Academic Society of Convergence Science Inc]
  • 설립연도
    2017
  • 분야
    복합학>과학기술학

간행물

  • 간행물명
    IJEMR
  • 간기
    계간
  • pISSN
    2546-1583
  • 수록기간
    2017~2022
  • 십진분류
    KDC 327 DDC 332

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